Rios, R., Miller, R. J. H., Manral, N., Sharir, T., Einstein, A. J., Fish, M. B., Ruddy, T. D., Kaufmann, P. A., Sinusas, A. J., Miller, E. J., Bateman, T. M., Dorbala, S., Di Carli, M., Van Kriekinge, S. D., Kavanagh, P. B., Parekh, T., Liang, J. X., Dey, D., Berman, D. S., & Slomka, P. J. (2022). Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. Computers in Biology and Medicine, 145, 105449. https://doi.org/10.1016/j.compbiomed.2022.105449
Subjects:
Myocardial Perfusion Imaging
(MeSH)
Publication Type:
Article
Unique ID:
10.1016/j.compbiomed.2022.105449
PMID:
Journal:
Publication Date:
Data Source:
Scopus